Jared Roesch

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jared Roesch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Seiya Tokui
  2. Atilim Gunes Baydin
  3. Alex Krizhevsky
  4. Suyog Gupta
  5. Pavel Panchekha
  6. Kaiming He
  7. Adam Paszke
  8. Martín Abadi
  9. Barak A. Pearlmutter
  10. Joseph Dean

Who trusts Jared Roesch overall

  1. Xin Liu
  2. Dmitry Lepikhin

Papers from Jared Roesch's perspective

Ordered by how strongly the researchers Jared Roesch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers